Measures and alternating multilinear forms

  • Thread starter mma
  • Start date
  • Tags
    Forms
In summary, the area or volume of a parallelepiped is determined by the linear structure of the vector space and the translation invariance.
  • #1
mma
245
1
On an n-dimensional vector space an alternating n-form defines a measure. However a measure can be defined on its own right, without mentioning any alternating form. My question is that what condition must a measure satsfy that it can be originated from an alternating multilinear form. I mean an analogue that of a norm can be originated from a symmetric bilinear form if and only if it satisfies the parallelogram identity.
 
Physics news on Phys.org
  • #2
I put the question the other way around.

We learn in the school that the area of a polygon is determined by the length of its edges and its shape, i.e. the angles between the edges. Length and angles are determinded by the scalar product. So we learn the notion of area based on the scalar product.

However, area (or at least the ratio of areas) is determined solely by the linear structure of the vector space.

My question is now, how coul'd we introduce in a natural way the notion or area (or volume, etc.) without using the notion of norm or angles or scalar product ?

Of course, the emphasis is on the word natural, because otherwise we could simply say that area is an alternating bilinear form.
 
  • #3
I think the Haar measure is what you're looking for.
 
  • #4
Do you mean that we regard our vector space as the group of translations, and we apply the existence and uniquiness of the Haar-measure on this group?

This is interesting. The requirement of the translation invariance alone determines the area or volume function up to multiplication by a positive constant?
 
  • #5
That's what it looks like.

Oh, and don't forget the regularity conditions! Although (except for the finiteness condition) I don't know what can go badly if you omit them.
 
  • #6
Hurkyl said:
That's what it looks like.

Oh, and don't forget the regularity conditions!

Yes, of course. These are the "natural" features of a measure, independently of any group or vector space strucrure. And if we add the translation invariance, then the ratio of the areas of two parallelograms is determined unambiguously. Super! Could you show a relatively simple proof for this?
 
  • #7
It depends on what you mean by simple! I haven't pushed it through to completion, but my best lead on a 'simple' proof would be to pick a basis, which thus let's you define a notion of an n-parallelepiped. If you have two translation-invariant, regular measures, then I believe you can show that for any n-parallelepiped whose faces are parallel to the fundamental one, the ratio of the measures is a fixed constant. I presume you can push that through to show their ratio on any measurable set is a fixed constant.
 
  • #8
the only regularity assumption you need is that the measure is finite and nonzero on a given bounded and and nonempty open set. Or, just sigma-finite is enough.

For the proof, suppose [itex]\mu[/itex] and [itex]\nu[/tex] are two such measures.

[tex]
\begin{align*}
\mu(A)\nu(B) &= \int\int 1_{\{x\in A,y\in B\}}d\mu(x)d\nu(y)\\
&= \int\int 1_{\{x-y\in A,y\in B\}}d\mu(x)d\nu(y)\ \ (x \rightarrow x - y)\\
&= \int\int 1_{\{-y\in A,y+x\in B\}}d\nu(y)d\mu(x)\ \ (y\rightarrow y + x)\\
&= \int\int 1_{\{-y\in A,x\in B\}}d\mu(x)d\nu(y)\ \ (x\rightarrow x-y)\\
&= \nu(-A)\mu(B)
\end{align*}
[/tex]

so,
[tex]
\mu(B)/\nu(B) = \mu(A)/\nu(-A)
[/tex]
is independent of the set B chosen, and [itex]\mu[/itex] is proportional to [itex]\nu[/itex].
 
Last edited:
  • #9
Ha! That's (roughly) the swap-in-place trick from computer lore. It's really neat to see it useful elsewhere!
 
  • #10
Very tricky! But we arrived to [tex]\mu(B)/\nu(B) = \mu(A)/\nu(-A)[/tex] and not to [tex]\mu(B)/\nu(B) = \mu(A)/\nu(A)[/tex]. So we need additionally suppose the [tex]\nu(A)=\nu(-A)[/tex] mirroring invariance too. Or can this also be proved from our original conditions?
 
  • #11
Fix any set A with [itex]\nu(-A)\not=0[/itex] and set [itex]\lambda=\mu(A)/\nu(-A)[/itex]. Then, my proof showed that [itex]\mu(B)=\lambda\nu(B)[/itex] for every set B, so [itex]\mu,\nu[/itex] are proportional.

So, no you don't need to assume `mirror invariance', but you can prove it with a couple of extra lines (try putting [itex]\mu=\nu,A=B[/itex] into my equation).
 
Last edited:
  • #12
Yes, it was evident, sorry for the stupid question.
Thank you Gel and Hurkyl!
 

1. What is a measure in mathematics?

A measure is a mathematical concept used to assign a numerical value to a set or collection of objects or events. It is typically used to describe the size, length, or amount of something.

2. How is a measure different from a metric?

A measure and a metric are two related but distinct concepts in mathematics. While a measure assigns a numerical value to a set, a metric is a function that measures the distance between two points in a space. In other words, a measure describes the size or amount of something, while a metric describes the distance between things.

3. What is an alternating multilinear form?

An alternating multilinear form is a function that takes in multiple vectors as inputs and outputs a scalar value. It is linear with respect to each input vector, and it changes sign when the order of the input vectors is switched. This property is known as alternation and is denoted by a negative sign in front of the function.

4. How is an alternating multilinear form related to determinants?

An alternating multilinear form is closely related to determinants. In fact, the determinant of a square matrix can be thought of as an alternating multilinear form. This is because the determinant takes in multiple vectors (the columns of the matrix) and outputs a scalar value, and it satisfies the properties of alternation and multilinearity.

5. What are some applications of measures and alternating multilinear forms?

Measures and alternating multilinear forms have a wide range of applications in mathematics and physics. In mathematics, they are used to define integration in calculus and to study geometric objects such as manifolds. In physics, they are used to describe physical quantities such as work, energy, and momentum. They also play a crucial role in the study of fields such as differential geometry and quantum mechanics.

Similar threads

  • Differential Geometry
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
2
Views
865
  • Linear and Abstract Algebra
Replies
8
Views
4K
Replies
11
Views
165
Replies
3
Views
2K
Replies
12
Views
2K
Replies
17
Views
1K
Replies
11
Views
4K
  • Special and General Relativity
3
Replies
95
Views
4K
  • Beyond the Standard Models
Replies
0
Views
506
Back
Top